hies

The hies data comes from the HIES survey conducted
in Fiji in the year 2010. The data contains only two aspects
of the survey.

datasets

The stratification of univariate populations under stratified sampling designs is implemented according to Khan et al. (2002) <doi:10.1177/0008068320020518> and Khan et al. (2015) <doi:10.1080/02664763.2015.1018674> in this library. It determines the Optimum Strata Boundaries (OSB) and Optimum Sample Sizes (OSS) for the study variable, y, using the best-fit frequency distribution of a survey variable (if data is available) or a hypothetical distribution (if data is not available). The method formulates the problem of determining the OSB as mathematical programming problem which is solved by using a dynamic programming technique. If a dataset of the population is available to the surveyor, the method estimates its best-fit distribution and determines the OSB and OSS under Neyman allocation directly. When the dataset is not available, stratification is made based on the assumption that the values of the study variable, y, are available as hypothetical realizations of proxy values of y from recent surveys. Thus, it requires certain distributional assumptions about the study variable. At present, it handles stratification for the populations where the study variable follows a continuous distribution, namely, Pareto, Triangular, Right-triangular, Weibull, Gamma, Exponential, Uniform, Normal, Log-normal and Cauchy distributions.

Karuna G. Reddy

stratifyR

Optimal Stratification of Univariate Populations

M. G. M. Khan

hies function

A data frame with 3566 observations on two of
the major quantities collected in the survey. The
variables are:
<dl>
 <dt><code>Expenditure</code></dt>
<dd>Level of expenditure (FJD)</dd> <dt><code>Income</code></dt>
<dd>Level of income (FJD)</dd>
</dl>

Format

Household Income Expenditure Survey (HIES) in Fiji — hies

A data frame with 3566 observations on two of
the major quantities collected in the survey. The
variables are:
<dl>
 <dt><code>Expenditure</code></dt>
<dd>Level of expenditure (FJD)</dd>

 <dt><code>Income</code></dt>
<dd>Level of income (FJD)</dd>


</dl>

hies: Household Income Expenditure Survey (HIES) in Fiji

Description

Usage

Arguments

Format

Examples